Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. The Artificial Intelligence and Data Network Enablement team is responsible for new AI use cases for the Verizon network, creating new models that improve the customer experience. You’ll use your knowledge of network performance and AI/ML to interface with other teams and executives. You’ll innovate and develop creative and effective ways to change current processes.

• Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.

• Directing data gathering, assessing data validity and synthesizing data into large analytics datasets to support project goals.

• Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.

• Preparing all the supporting documents and reports.

• Create Visualizations from modeled data for executive and engineer consumption.

What we're looking for…

You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions.

You'll need to have:

• Bachelor's degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Four or more years of experience in advanced analytics/ predictive modeling in a consulting role.

• Experience with all phases of end-to-end Analytics project

• Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.

• Knowledge of Python, Sql, PySpark, Scala and/or other languages and tools.

Even better if you have one or more of the following:

• Master's degree

• Experience in Wireless Network (Telecom or Routing) experience

• Experience working in analytical projects in the telecom domain

• Accuracy and attention to detail

• Experience in data lake (hadoop), SQL, ETL

• Problem solving, analytical, and research skills

• Excellent verbal and written communication

• Experience presenting to and influencing functional leaders and partners

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity 

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.